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Purpose Technological disruptions such as the Internet of Things and autonomous devices, enhanced analytical capabilities (artificial intelligence) and rich media (virtual and augmented reality) are creating smart environments that are transforming industry structures, processes and practices. The purpose of this paper is to explore critical technological advancements using a value co-creation lens to provide insights into service innovations that impact ecosystems. The paper provides examples from tourism and hospitality industries as an information dependent service management context. Design/methodology/approach The research synthesizes prevailing theories of co-creation, service ecosystems, networks and technology disruption with emerging technological developments. Findings Findings highlight the need for research into service innovations in the tourism and hospitality sector at both macro-market and micro-firm levels, emanating from the rapid and radical nature of technological advancements. Specifically, the paper identifies three areas of likely future disruption in service experiences that may benefit from immediate attention: extra-sensory experiences, hyper-personalized experiences and beyond-automation experiences. Research limitations/implications Tourism and hospitality services prevail under varying levels of infrastructure, organization and cultural constraints. This paper provides an overview of potential disruptions and developments and does not delve into individual destination types and settings. This will require future work that conceptualizes and examines how stakeholders may adapt within specific contexts. Social implications Technological disruptions impact all facets of life. A comprehensive picture of developments here provides policymakers with nuanced perspectives to better prepare for impending change. Originality/value Guest experiences in tourism and hospitality by definition take place in hostile environments that are outside the safety and familiarity of one’s own surroundings. The emergence of smart environments will redefine how customers navigate their experiences. At a conceptual level, this requires a complete rethink of how stakeholders should leverage technologies, engage and reengineer services to remain competitive. The paper illustrates how technology disrupts industry structures and stimulates value co-creation at the micro and macro-societal level.

Purpose -Online reviews have become increasingly important for customer decisionmaking. The hotel industry represents a noticeable case. Consumer reviews posted on websites such as Bookings.com, TripAdvisor, and Venere.com play a critical role in consumers' choice of a hotel. For this reason a number of recent studies analyses different aspects of online reviews. The purpose of this paper is to investigate their effects in terms of hotel occupancy rates.Design/methodology/approach -The paper measures through regression analysis the impact of three dimensions of consumer reviews (i.e. review score, review variance and review volume) on the occupancy rates of 346 hotels located in Rome, isolating a number of other factors that might also affect demand.Findings -Review score is the dimension with the highest impact. The results suggest that, after controlling for other variables, a one-point increase in the review score is associated to an increase in the occupancy rate by 7.5 percentage points. Regardless the review score, the number of reviews has a positive effect, but with decreasing returns, implying that the higher the number of reviews, the lower the beneficial effect in terms of occupancy rates is.Practical implications -The findings quantify the strong association of online reviews to occupancy rates suggesting the use of appropriate reputational management systems to increase hotel occupancy and therefore performance.2 Originality/Value -A major contribution of this paper is its comprehensiveness in analysing the relation between online consumer reviews and occupancy across a heterogeneous sample of hotels.

How much do hoteliers actually make use of dynamic pricing strategies? We collected data on the price of a single room booked in advance (from three months to a single day), from almost 1000 hotels in eight European capital cities. Pricing strategies were analyzed by means of descriptive statistics, box plots and econometric panel data techniques. The empirical results show that the inter-temporal pricing structure primarily depends on the type of customer, the star rating and the number of suppliers with available rooms.

Well-designed and executed experiments prove cause-and-effect relationships. The ability to draw causal conclusions is critical to knowledge development in any field of research. In this article, we discuss the benefits of experimental designs over alternative research approaches for the social sciences, discuss advantages and disadvantages of different types of experiments, review existing experimental studies specific to tourism and hospitality, and offer guidance to researchers who wish to conduct such studies. Properly executed experiments using actual behaviour of real stakeholders as a dependent variable lead to conclusions with high external validity. Our discussion of practical implementation issues culminates in a checklist for researchers. The article launches the Annals of Tourism Research Curated Collection on experimental research in tourism and hospitality.

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Dynamic pricing techniques allow using a number of variables in a tactical way compared to standard catalogue prices. This study merges in a conceptual model the relevance of the tactical and the strategic dimension of these variables, classified according to their tangible, reputational or contextual nature.To empirically validate the hypotheses, a database of 21.596 price observations was retrieved from booking.com. The study presents a hedonic price function, using the Shapley-Owen decomposition of the Rsquared to elicit the importance of each group of factors. Further, a hierarchical cluster analysis measures the presence of heterogeneity across operators.The results show that online reputation is gaining importance over the traditional star rating. Despite the tangible variables remain of paramount importance, the findings suggest the relevant role of contextual variables in short-run price variations. The players operating in the tourism and hospitality industries should integrate these findings when designing pricing strategies.

The purpose of the paper is to explore how digital storytelling enables a consumer relationship experience in online peer-to-peer communities. Within the value cocreation framework, digital storytelling is interpreted as an encounter communication practice where consumers adopt the role of storytellers and story receivers. This study adopts a qualitative multimethod approach to investigate the meanings contained in video stories and the linkage to relationship experience. A case study based on the Airbnb's social platforms was analyzed through the degrees-of-freedom analysis instrument (DFA) and through a systematic dimensional qualitative research called BASIC IDS (an acronym for behavior, affect, sensation, imagery, cognition, interpersonal relations, drugs, and sociocultural factors) to yield psychological valuable insights into the multidimensional construct of consumer relationship experience. The analysis unveils that, within the social media realm, storytelling enables rational, emotional, and relationship experiences. A relationship experience occurs when members of peer-to-peer communities, not only are rationally and emotionally engaged by the story, but are also moved to action going beyond a vicarious role-taking process. Specifically, relatability, a shared sociocultural background, and the drug dimension conceptualize the consumer relationship experience. Implications build on the need for companies to enhance the power of stories through favoring consumers' video making and integrating consumers' flow of stories between multiple social media platforms.